3296. Minimum Number of Seconds to Make Mountain Height Zero
Description
You are given an integer mountainHeight
denoting the height of a mountain.
You are also given an integer array workerTimes
representing the work time of workers in seconds.
The workers work simultaneously to reduce the height of the mountain. For worker i
:
- To decrease the mountain's height by
x
, it takesworkerTimes[i] + workerTimes[i] * 2 + ... + workerTimes[i] * x
seconds. For example:<ul> <li>To reduce the height of the mountain by 1, it takes <code>workerTimes[i]</code> seconds.</li> <li>To reduce the height of the mountain by 2, it takes <code>workerTimes[i] + workerTimes[i] * 2</code> seconds, and so on.</li> </ul> </li>
Return an integer representing the minimum number of seconds required for the workers to make the height of the mountain 0.
Example 1:
Input: mountainHeight = 4, workerTimes = [2,1,1]
Output: 3
Explanation:
One way the height of the mountain can be reduced to 0 is:
- Worker 0 reduces the height by 1, taking
workerTimes[0] = 2
seconds. - Worker 1 reduces the height by 2, taking
workerTimes[1] + workerTimes[1] * 2 = 3
seconds. - Worker 2 reduces the height by 1, taking
workerTimes[2] = 1
second.
Since they work simultaneously, the minimum time needed is max(2, 3, 1) = 3
seconds.
Example 2:
Input: mountainHeight = 10, workerTimes = [3,2,2,4]
Output: 12
Explanation:
- Worker 0 reduces the height by 2, taking
workerTimes[0] + workerTimes[0] * 2 = 9
seconds. - Worker 1 reduces the height by 3, taking
workerTimes[1] + workerTimes[1] * 2 + workerTimes[1] * 3 = 12
seconds. - Worker 2 reduces the height by 3, taking
workerTimes[2] + workerTimes[2] * 2 + workerTimes[2] * 3 = 12
seconds. - Worker 3 reduces the height by 2, taking
workerTimes[3] + workerTimes[3] * 2 = 12
seconds.
The number of seconds needed is max(9, 12, 12, 12) = 12
seconds.
Example 3:
Input: mountainHeight = 5, workerTimes = [1]
Output: 15
Explanation:
There is only one worker in this example, so the answer is workerTimes[0] + workerTimes[0] * 2 + workerTimes[0] * 3 + workerTimes[0] * 4 + workerTimes[0] * 5 = 15
.
Constraints:
1 <= mountainHeight <= 105
1 <= workerTimes.length <= 104
1 <= workerTimes[i] <= 106
Solutions
Solution 1: Binary Search
We notice that if all workers can reduce the mountain height to $0$ in $t$ seconds, then for any $t' > t$, the workers can also reduce the mountain height to $0$ in $t'$ seconds. Therefore, we can use binary search to find the minimum $t$ such that the workers can reduce the mountain height to $0$ in $t$ seconds.
We define a function $\textit{check}(t)$, which indicates whether the workers can reduce the mountain height to $0$ in $t$ seconds. Specifically, we iterate through each worker. For the current worker $\textit{workerTimes}[i]$, assuming they reduce the height by $h'$ in $t$ seconds, we can derive the inequality:
$$ \left(1 + h'\right) \cdot \frac{h'}{2} \cdot \textit{workerTimes}[i] \leq t $$
Solving the inequality, we get:
$$ h' \leq \left\lfloor \sqrt{\frac{2t}{\textit{workerTimes}[i]} + \frac{1}{4}} - \frac{1}{2} \right\rfloor $$
We can sum up all the $h'$ values for the workers to get the total reduced height $h$. If $h \geq \textit{mountainHeight}$, it means the workers can reduce the mountain height to $0$ in $t$ seconds.
Next, we determine the left boundary of the binary search $l = 1$. Since there is at least one worker, and each worker's working time does not exceed $10^6$, to reduce the mountain height to $0$, it takes at least $(1 + \textit{mountainHeight}) \cdot \textit{mountainHeight} / 2 \cdot \textit{workerTimes}[i] \leq 10^{16}$ seconds. Therefore, we can set the right boundary of the binary search to $r = 10^{16}$. Then, we continuously halve the interval $[l, r]$ until $l = r$. At this point, $l$ is the answer.
The time complexity is $O(n \times \log M)$, where $n$ is the number of workers, and $M$ is the right boundary of the binary search, which is $10^{16}$ in this problem.
Python3
class Solution:
def minNumberOfSeconds(self, mountainHeight: int, workerTimes: List[int]) -> int:
def check(t: int) -> bool:
h = 0
for wt in workerTimes:
h += int(sqrt(2 * t / wt + 1 / 4) - 1 / 2)
return h >= mountainHeight
return bisect_left(range(10**16), True, key=check)
Java
class Solution {
private int mountainHeight;
private int[] workerTimes;
public long minNumberOfSeconds(int mountainHeight, int[] workerTimes) {
this.mountainHeight = mountainHeight;
this.workerTimes = workerTimes;
long l = 1, r = (long) 1e16;
while (l < r) {
long mid = (l + r) >> 1;
if (check(mid)) {
r = mid;
} else {
l = mid + 1;
}
}
return l;
}
private boolean check(long t) {
long h = 0;
for (int wt : workerTimes) {
h += (long) (Math.sqrt(t * 2.0 / wt + 0.25) - 0.5);
}
return h >= mountainHeight;
}
}
C++
class Solution {
public:
long long minNumberOfSeconds(int mountainHeight, vector<int>& workerTimes) {
using ll = long long;
ll l = 1, r = 1e16;
auto check = [&](ll t) -> bool {
ll h = 0;
for (int& wt : workerTimes) {
h += (long long) (sqrt(t * 2.0 / wt + 0.25) - 0.5);
}
return h >= mountainHeight;
};
while (l < r) {
ll mid = (l + r) >> 1;
if (check(mid)) {
r = mid;
} else {
l = mid + 1;
}
}
return l;
}
};
Go
func minNumberOfSeconds(mountainHeight int, workerTimes []int) int64 {
return int64(sort.Search(1e16, func(t int) bool {
var h int64
for _, wt := range workerTimes {
h += int64(math.Sqrt(float64(t)*2.0/float64(wt)+0.25) - 0.5)
}
return h >= int64(mountainHeight)
}))
}
TypeScript
function minNumberOfSeconds(mountainHeight: number, workerTimes: number[]): number {
const check = (t: bigint): boolean => {
let h = BigInt(0);
for (const wt of workerTimes) {
h += BigInt(Math.floor(Math.sqrt((Number(t) * 2.0) / wt + 0.25) - 0.5));
}
return h >= BigInt(mountainHeight);
};
let l = BigInt(1);
let r = BigInt(1e16);
while (l < r) {
const mid = (l + r) >> BigInt(1);
if (check(mid)) {
r = mid;
} else {
l = mid + 1n;
}
}
return Number(l);
}